Commit dd57c840 authored by Florent Chatelain's avatar Florent Chatelain
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# Two-way kernel matrix puncturing # Two-way kernel matrix puncturing
This is the companion gitlab repository for our submitted paper _"Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering"_ by Romain Couillet, Florent Chatelain and Nicolas Le Bihan This is the companion gitlab repository for our [arXiv manuscript](https://arxiv.org/abs/2102.12293) _"Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering"_ by Romain Couillet, Florent Chatelain and Nicolas Le Bihan
## Supplementary materials ## Supplementary materials
### Proofs
The elements of proof of the main theorems in the core article are detailled in the pdf file The elements of proof of the main theorems in the core article are detailled in the pdf file
[supp_mat_proofs.ipynb]() [supp_mat_proofs.pdf](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/two-way-kernel-matrix-puncturing/-/blob/master/supp_mat_proofs)
## Code ### Code
The python jupyter notebook [supp_mat_figures.ipynb]() is set up to replicate the figures shown in the paper. The python jupyter notebook [supp_mat_figures.ipynb]() is set up to replicate the figures shown in the paper.
This loads the `punctils.py` function module and the GAN data. The required python modules to run the notebook are listed in the first cells. This loads the `punctils.py` function module and the GAN data. The python modules needed to run the notebook are listed in the first cells.
### Requirements #### Requirements
The processing of GAN data requires at least 32GB of RAM. The processing of GAN data requires at least 32GB of RAM.
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